database performance

Too often, the debate about IT is dominated by a narrow focus on near-term objectives: shrill cries claim that the business will stop (or fail) if a feature isnít added to the ecommerce site, if the mobility platform isnít improved, if the network and compute back end arenít upgraded, if storage and database performance isnít accelerated. Often, these changes are truly essential, and demand immediate attention. However, midmarket firms canít assemble a meaningful strategy from point responses to near-term issues. Increasingly, midmarket enterprises are finding that continued operational success requires an ďagile-cloudĒ Ė an agility-oriented, cloud-based IT strategy that addresses the three core changes faced by midmarket firms: the changing nature of business infrastructure, the accelerating pace of change in business, and the expanding scope of IT.

Too often, the debate about IT is dominated by a narrow focus on near-term objectives: shrill cries claim that the business will stop (or fail) if a feature isnít added to the ecommerce site, if the mobility platform isnít improved, if the network and compute back end arenít upgraded, if storage and database performance isnít accelerated. Often, these changes are truly essential, and demand immediate attention. However, midmarket firms canít assemble a meaningful strategy from point responses to near-term issues. Increasingly, midmarket enterprises are finding that continued operational success requires an ďagile-cloudĒ Ė an agility-oriented, cloud-based IT strategy that addresses the three core changes faced by midmarket firms: the changing nature of business infrastructure, the accelerating pace of change in business, and the expanding scope of IT.

Oracle has just announced a new microprocessor, and the servers and engineered system that are powered by it. The SPARC M8 processor fits in the palm of your hand, but it contains the result of years of co-engineering of hardware and software together to run enterprise applications with unprecedented speed and security.
The SPARC M8 chip contains 32 of todayís most powerful cores for running Oracle Database and Java applications. Benchmarking data shows that the performance of these cores reaches twice the performance of Intelís x86 cores. This is the result of exhaustive work on designing smart execution units and threading architecture, and on balancing metrics such as core count, memory and IO bandwidth. It also required millions of hours in testing chip design and operating system software on real workloads for database and Java. Having faster cores means increasing application capability while keeping the core count and software investment under control. In other words, a boost

The Software in Silicon design of the SPARC M7 processor, and the recently announced SPARC S7 processor, implement memory access validation directly into the processor so that you can protect application data that resides in memory. It also includes on-chip Data Analytics Accelerator (DAX) engines that are specifically designed to accelerate analytic functions. The DAX engines make in-memory databases and applications run much faster, plus they significantly increase usable memory capacity by allowing compressed databases to be stored in memory without a performance penalty.
The following Software in Silicon technologies are implemented in the SPARC S7 and M7 processors:
Note: Security in Silicon encompasses both Silicon Secured Memory and cryptographic instruction acceleration, whereas SQL in Silicon includes In-Memory Query Acceleration and In-Line Decompression.
Silicon Secured Memory is the first-ever end-to-end implementation of memory-access validation done in hardware. It

Databases have long served as the lifeline of the business. Therefore, it is no surprise that performance has always been top of mind. Whether it be a traditional row-formatted database to handle millions of transactions a day or a columnar database for advanced analytics to help uncover deep insights about the business, the goal is to service all requests as quickly as possible. This is especially true as organizations look to gain an edge on their competition by analyzing data from their transactional (OLTP) database to make more informed business decisions. The traditional model (see Figure 1) for doing this leverages two separate sets of resources, with an ETL being required to transfer the data from the OLTP database to a data warehouse for analysis. Two obvious problems exist with this implementation. First, I/O bottlenecks can quickly arise because the databases reside on disk and second, analysis is constantly being done on stale data.
In-memory databases have helped address p

Oracle has just announced a new microprocessor, and the servers and engineered system that are powered by it. The SPARC M8 processor fits in the palm of your hand, but it contains the result of years of co-engineering of hardware and software together to run enterprise applications with unprecedented speed and security.
The SPARC M8 chip contains 32 of todayís most powerful cores for running Oracle Database and Java applications. Benchmarking data shows that the performance of these cores reaches twice the performance of Intelís x86 cores. This is the result of exhaustive work on designing smart execution units and threading architecture, and on balancing metrics such as core count, memory and IO bandwidth. It also required millions of hours in testing chip design and operating system software on real workloads for database and Java. Having faster cores means increasing application capability while keeping the core count and software investment under control. In other words, a boost

Your enterprise runs its critical
applications on Oracle Databases,
and as an enterprise IT leader, maintaining
the performance and availability of your
databases is among your top priorities.
Any degradation in performance
or loss of data could result in serious
business disruption and loss of revenue,
so protecting this vital asset is a must.
There are many causes of data lossó
administration errors, system or media
failures, cyberattacks, and moreóbut
we often overlook design flaws in the
very systems meant to protect data:
general-purpose backup systems.
Many existing data protection solutions fail to
meet the demands of critical databases because
they treat them as generic files to copy as opposed
to specialized resources. Taking a generic approach
to database backup and recovery not only exposes
you to the risk of data loss, it also negatively impacts
performance and makes it difficult to recover within
acceptable timeframes.

Traditional backup systems fail to meet the needs of
modern organizations by focusing on backup, not
recovery. They treat databases as generic files to be
copied, rather than as transactional workloads with
specific data integrity, consistency, performance, and
availability requirements.
Additionally, highly regulated industries, such as financial
services, are subject to ever?increasing regulatory
mandates that require stringent protection against data
breaches, data loss, malware, ransomware, and other
risks. These risks require fiduciary?class data recovery
to eliminate data loss exposure and ensure data integrity
and compliance

MongoDB, one of the most popular NoSQL Open databases, helps you take advantage of exploding unstructured data with faster access to data and analytics while reducing your database cost. With the right infrastructure, you can benefit more. By running MongoDB on IBM Power systems, you can achieve:
ē ?Bring new apps to market faster and reduce the risk for mission-critical deployments
ē ?2.6x better performance for MongoDB at a much lesser cost than x86
Find out more about IBM Power Systems and MongoDB for todayís applications.

This white paper outlines these challenges and provides a clear path to providing the accelerated insight needed to perform in today's complicated business environment to reduce risk, stop fraud and increase profits.

The goal of understanding and managing service behavior remains elusive. Failure to adopt operational practices such as service portfolio management, process refinement, consolidation of tools, and consolidation of the organizational entities themselves explain most of the trouble.

In an ever-changing world, DBAs are managing more complex, business-critical systems. With demands of high performance and around-the-clock uptime, how can they keep providing maximum service levels? Advanced performance management is the answer. Learn more Ė read this Dell Software white paper.

When application performance issues occur, it seems DBAs get blamed Ė even if databases arenít the cause.
In this new white paper, see how to maintain peak database performance at all times Ė and how to prove, beyond a doubt, your databases arenít causing the headaches! Read this paper today.

Concerned about the disruptive changes introduced by cloud, big data and mobile technologies? Read this new white paper to learn how Dell Foglight for Oracle can help Oracle DBAs embrace these challenges and transform the data center.

This white paper outlines these challenges and provides a clear path to providing the accelerated insight needed to perform in today's complicated business environment to reduce risk, stop fraud and increase profits.

In this white paper Quest's data protection experts offer five tips for effective backup and recovery to help you avoid the challenges that might keep you from fully protecting your virtual assets and infrastructure.

ADCs are advanced load balancers with functions and features that enhance the performance of applications. Today, companies of all sizes with geographical dispersal of people and different data constructs require ADCs to optimize their complex application environments from web applications, to Exchange, SharePoint and databases. It is interesting that before the term ADC was used more recently (in the last decade), companies relied on load balancers for website availability and scalability. In this paper we will describe the fundamentals of a load balancing system and its evolution to an ADC.

McAfee Data Center Security Suite for Database delivers all the capabilities needed to secure your databases for reliable SOX compliance, with minimal impact on system performance or the productivity of your IT organization.

Storage is a critical factor when virtualizing your business-critical applications like Exchange, SharePoint, SQL Server, and Oracle databases. What features should you look for when selecting a storage vendor? Download this tech overview to learn how flash-optimized Nimble Storage accelerates performance, maximizes utilization, and cost-effectively protects your mission-critical data.

EMC has recently enhanced its VNX block-based deduplication technology enabling flexible data reduction across a wide variety of use cases from virtual desktops to virtual servers and databases. While block-based deduplication is not new for VNX, this latest enhancement, according to EMC, offers up to a 3x better performance at half the response time.

What you'll learn in this webinar:
Optimize your operations by taking advantage of the modern, scalable cloud infrastructure available on Amazon Web Services (AWS). Migrate your Oracle applications and databases to AWS and get all the benefits of the cloud.
Migrating mission-critical Oracle databases and applications to the cloud is complex and you may feel locked into your platform. Amazon Aurora provides commercial-grade database performance and availability at a fraction of the cost. Apps Associatesóan AWS Partner Network (APN) Partner and Oracle expertócan migrate enterprise workloads to the cloud, freeing customers to focus on higher-value initiatives.
Watch this webinar to learn how to:
Run your entire Oracle database and application environment on the cloud
Take advantage of lower IT costs on the cloud and reduce your Total Cost of Ownership (TCO)
Leverage Amazon Aurora to help satisfy your companyís cloud-first mandate, improve security, and reduce risk